HCFMRP COVID-19 & LID (v1)
Description
Dataset designed to characterize lung interstitial diseases (LID) and COVID-19 on chest X-ray. For the composition of the dataset, frontal chest X-ray of patients from the Ribeirão Preto Medical School of University of São Paulo (Brazil) were classified into three groups: healthy (382 images), with LID (308 images), and with COVID-19 (189 images).
All images were analyzed by a thoracic radiologist and COVID-19 diagnosis was confirmed by RT-PCR.
For each of the groups, three types of files are available, all anonymized: the frontal view of the chest X-ray in DICOM format; the original images converted to PNG format; and the same images in 3-channel PNG format (RGB).
The following directory and file structure is presented:
1-Normal: for healthy cases
- normal-dcm-anonymized: anonymized DICOM files
- normal-png: image files converted to PNG
- normal-png-RGB: image files converted to 3-channel PNG
2-LID: for LID cases
- lid-dcm-anonymized: anonymized DICOM files
- lid-png: image files converted to PNG
- lid-png-RGB: image files converted to 3-channel PNG
3-COVID: for COVID-19 cases
- covid-dcm-anonymized: anonymized DICOM files
- covid-png: image files converted to PNG
- covid-png-RGB: image files converted to 3-channel PNG
For more information, contact us: https://mainlab.fmrp.usp.br/
Files
Files
(11.3 GB)
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md5:162b6f6b4819aaa1f23183478366ca18
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11.3 GB | Download |